Review of recommendation methods for problem of bias

Guo Nan
Huang Huihui
School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China

Abstract

Due to the numerous but scattered studies on the bias of recommendation systems and few relevant research reviews, according to the subject that causes the bias, this paper divided bias into the bias in user behavior, the bias in item display, and the bias in recommendation algorithm, and then subdivided it into nine specific categories, such as selection bias and conformity bias, and gave the definition and causes of each bias. This paper focused on sorting out the research on correlation recommendation methods and causal recommendation methods to solve the bias problem, and further classified them according to the technical means or the first, middle and last three stages of the training model, and analyzed the differences and strengths between different types of research. This paper summarized the bias studies on common datasets and new bias measures, forecasted the development trend of bias-oriented recommendation methods from different categories, hoping to provide some help for the follow-up bias research in recommender system.

Foundation Support

国家自然科学基金资助项目(52130403)
中央高校基本科研业务费专项资金资助项目(N2017003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0092
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Survey
Pages: 2881-2890,2915
Serial Number: 1001-3695(2022)10-001-2881-10

Publish History

[2022-05-13] Accepted Paper
[2022-10-05] Printed Article

Cite This Article

郭楠, 黄慧慧. 面向偏差问题的推荐方法研究综述 [J]. 计算机应用研究, 2022, 39 (10): 2881-2890,2915. (Guo Nan, Huang Huihui. Review of recommendation methods for problem of bias [J]. Application Research of Computers, 2022, 39 (10): 2881-2890,2915. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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